Model Cost Comparison (Starter Pack)
SkillProductivityStarter: compare model costs for a described task — maps task shape to the cheapest adequate seat and shows the price spread
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Model Cost Comparison (Starter Pack) skill
What this skill tells your AI
The instructions your AI receives, as published by nyldn/claude-octopus in skills/octopus-starter-pack/model-cost-compare/SKILL.md and read by ahel’s review.
Answer "which model should I use for this, and what will it cost?" with numbers instead of vibes.
When to use
The user describes a task (bulk refactor, deep review, quick lookup, long-context analysis) and wants the cheapest seat that is still adequate.
Steps
- Classify the task. Bucket it: mechanical (rename, format), standard coding, hard reasoning (architecture, security review), long-context (>200K tokens input), or web research.
- Estimate volume. Rough input/output token estimate from the described scope (files touched × average size; state the assumption).
- Price the roster. Using the cost table in CLAUDE.md ($/MTok input/output), compute the estimated cost for each plausible seat: Claude Opus 5 ($5/$25), Claude Sonnet 5 ($2/$10), Fable 5.1 ($10/$50, 1M context, explicit-only), Codex GPT-5.6 Sol ($4/$20), Terra ($2/$12), Luna ($0.20/$1.20), GPT-6 Astra ($10/$50, explicit-only), Perplexity Sonar Pro ($3/$15), and the included-cost seats (agy, copilot, ollama, cursor-agent) at $0. For Astra requests above 272K input tokens, apply 2x input and 1.5x output pricing to the full request.
- Recommend one seat. Pick the cheapest adequate option and defend it in two sentences. Mechanical work goes to included or budget seats; hard reasoning justifies Opus 5 at
higheffort; only a bounded judgment-class call (ambiguous architecture, API design, product tradeoffs) justifies Fable 5.1 at twice the Opus price. - Check risk surfaces. Regardless of the classification, escalate specifically to Opus 5 when the task touches API or schema contracts, security-sensitive code or CI configuration, release artifacts, user-facing UI, a new module, or a breaking change. Fable 5.1 remains limited to bounded judgment-class calls and is never the security-audit seat. Astra is also explicit-only and does not provide independence from GPT-5.6. Cheap-seat agreement never settles a judgment-class decision.
- Show the spread. A three-row table: recommended seat, one cheaper-but-riskier option, one premium option, each with estimated dollars for this task.
Guardrails
- Never recommend Fable 5.1, Astra, or fast-mode Opus by default; these premium seats are opt-in only.
- Never recommend Fable 5.1 for security audits; its safety classifiers can refuse offensive-security phrasing. Security review goes to Opus 5 (see
skills/blocks/fable5-prompting.md). - If the estimate exceeds $1, say so explicitly before any dispatch happens.
Signals
- GitHub stars
- 4k
- Forks
- 380
- Last commit
- Sep 2026
Advanced
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model-cost-compare- Source
- github.com/nyldn/claude-octopus